Results 141 to 150 of about 1,548 (255)

Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]

Rev R Acad Cienc Exactas Fis Nat A Mat
Zimmermann P.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Computational analysis of a spatiotemporal model of cancer-immune-chemotherapy dynamics with nonlinear diffusive interactions using spectral technique. [PDF]

Sci Rep
Shi H, Khan SU, Khan FU, Muhammad T, Alshehri A, Nasrat MK.   +5 more
europepmc   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

A qualitative study on the stability and existence of solutions in a fractional-order water pollution model via the predictor-corrector approach. [PDF]

Sci Rep
Iqbal N, Archana DK, Khan MNI, Prakasha DG.   +3 more
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Three layers thermal protection system modeling by Riemann-Liouville fractional derivative. [PDF]

Sci Rep
Brociek R, Hetmaniok E, Słota D.
europepmc   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Selective Degradation of Polyurethanes in Mixed Plastic Wastes via Ir‐Catalyzed Hydrogenolysis

Angewandte Chemie, EarlyView.
The selective degradation of polyurethanes in mixed plastic wastes with polyesters and polyamides was achieved using H2 as a reactant, enabling simultaneous recovery of diformamides and polyols arising from polyurethanes and separation of polyesters and polyamides without any degradation.
Yuto Yamada, Takanori Iwasaki, Shinji Tanaka, Kyoko Nozaki   +3 more
wiley   +2 more sources

Existence and controllability analysis of multi-term fractional coupled systems with generalized [Formula: see text]-Caputo-Fabrizio operators. [PDF]

Sci Rep
Saad KM, Abdo MS, Hamanah WM.
europepmc   +1 more source